ODUSSEAS: a machine learning tool to derive effective temperature and metallicity for M dwarf stars
- 6 April 2020
- journal article
- research article
- Published by EDP Sciences in Astronomy & Astrophysics
- Vol. 636, A9
- https://doi.org/10.1051/0004-6361/201937194
Abstract
Astronomy & Astrophysics (A&A) is an international journal which publishes papers on all aspects of astronomy and astrophysicsKeywords
Funding Information
- Fundação para a Ciência e a Tecnologia (PTDC/FIS-AST/28953/2017)
This publication has 24 references indexed in Scilit:
- A machine learning approach for identification and classification of symbiotic stars using 2MASS and WISEMonthly Notices of the Royal Astronomical Society, 2018
- MADE: a spectroscopic mass, age, and distance estimator for red giant stars with Bayesian machine learningMonthly Notices of the Royal Astronomical Society, 2018
- Metallicity determination of M dwarfsAstronomy & Astrophysics, 2016
- SPECTROSCOPY OF FAINTKEPLERMISSION EXOPLANET CANDIDATE HOST STARSThe Astrophysical Journal, 2013
- PROSPECTING IN LATE-TYPE DWARFS: A CALIBRATION OF INFRARED AND VISIBLE SPECTROSCOPIC METALLICITIES OF LATE K AND M DWARFS SPANNING 1.5 dexThe Astronomical Journal, 2013
- The HARPS search for southern extra-solar planetsAstronomy & Astrophysics, 2013
- ON THE METAL RICHNESS OF M DWARFS WITH PLANETSThe Astrophysical Journal, 2009
- M dwarfs: effective temperatures, radii and metallicitiesMonthly Notices of the Royal Astronomical Society, 2008
- Accurate fundamental parameters for lower main-sequence starsMonthly Notices of the Royal Astronomical Society, 2006
- Metallicity of M dwarfsAstronomy & Astrophysics, 2005